In two questionnaire studies, participants rated whether disagreement about 95 attitude pairs or 190 individual attitudes were characterized by threat, complexity, morality, politics, and harm. The attitudes cover a range of different topics, from abstract concepts to social groups and political figures and are the same attitudes in the Attitudes, Identities, and Individual Differences Study (Hussey et al., 2018). The data sets include ratings of each attitude, as well as basic demographic information about the participants. Data can be combined with the Attitudes, Identities, and Individual Differences Study and can also be used to understand how some attitudes are perceived, which may be useful when planning studies.
在两项问卷调查中，参与者对95种态度对或190种个人态度的分歧是否以威胁、复杂性、道德、政治和伤害为特征进行评估。这些态度涵盖了一系列不同的主题，从抽象概念到社会群体和政治人物，并且在态度，身份和个体差异研究中是相同的态度(Hussey et al.， 2018)。数据集包括每种态度的评分，以及参与者的基本人口统计信息。数据可以与态度、身份和个体差异研究相结合，也可以用来了解一些态度是如何被感知的，这在规划研究时可能是有用的。
{"title":"Ratings of Reasons for Disagreement about 95 Attitude Object Pairs and 190 Attitude Objects","authors":"M. Brandt, Emily Kubin","doi":"10.5334/jopd.53","DOIUrl":"https://doi.org/10.5334/jopd.53","url":null,"abstract":"In two questionnaire studies, participants rated whether disagreement about 95 attitude pairs or 190 individual attitudes were characterized by threat, complexity, morality, politics, and harm. The attitudes cover a range of different topics, from abstract concepts to social groups and political figures and are the same attitudes in the Attitudes, Identities, and Individual Differences Study (Hussey et al., 2018). The data sets include ratings of each attitude, as well as basic demographic information about the participants. Data can be combined with the Attitudes, Identities, and Individual Differences Study and can also be used to understand how some attitudes are perceived, which may be useful when planning studies.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46153916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Brandt, Felicity M. Turner‐Zwinkels, Emily Kubin
Data was collected from 552 people from the United States every two weeks for one year for a 26-wave panel study. Participants recruited on Prolific completed measures of political attitudes, political identification, perceived threat, perceived stress, and social distance at every wave. They completed demographic measures at the first wave. They completed political behaviour intentions (e.g., voting, signing a petition) in four waves spread over the last half of the study. They completed items related to COVID-19 for the last four waves. Data is stored on the Open Science Framework. It can be used to study longitudinal associations between politically-relevant variables, assess stability overtime, and test for the influence of discrete events on attitudes during the course of the study.
{"title":"Political Psychology Data from a 26-wave Yearlong Longitudinal Study (2019–2020)","authors":"M. Brandt, Felicity M. Turner‐Zwinkels, Emily Kubin","doi":"10.5334/jopd.54","DOIUrl":"https://doi.org/10.5334/jopd.54","url":null,"abstract":"Data was collected from 552 people from the United States every two weeks for one year for a 26-wave panel study. Participants recruited on Prolific completed measures of political attitudes, political identification, perceived threat, perceived stress, and social distance at every wave. They completed demographic measures at the first wave. They completed political behaviour intentions (e.g., voting, signing a petition) in four waves spread over the last half of the study. They completed items related to COVID-19 for the last four waves. Data is stored on the Open Science Framework. It can be used to study longitudinal associations between politically-relevant variables, assess stability overtime, and test for the influence of discrete events on attitudes during the course of the study.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70678405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Mackinnon, Cassondra M. Ray, S. Firth, Roisin M O'Connor
Two datasets include self-report data from (a) a 21-day daily diary study (N = 263) and (b) a cross-sectional psychometric study (N = 139) of emerging adult drinkers. Data were collected from two Canadian cities, and represent unique, non-overlapping participants in both datasets. Questionnaires assessed perfectionism, reinforcement sensitivity, big five personality traits, alcohol consumption/problems, binge eating, social support, positive and negative affect, social anxiety, and drinking motives. Daily data were originally analysed using multilevel structural equation modelling and are stored in the Open Science Framework ( https://osf.io/gduy4/ ). These data can be used to examine research questions related to personality, emotions, and alcohol consumption, including changes from day-to-day in many variables.
{"title":"Data from “Perfectionism, Negative Motives for Drinking, and Alcohol-Related Problems: A 21-day Diary Study”","authors":"S. Mackinnon, Cassondra M. Ray, S. Firth, Roisin M O'Connor","doi":"10.5334/jopd.44","DOIUrl":"https://doi.org/10.5334/jopd.44","url":null,"abstract":"Two datasets include self-report data from (a) a 21-day daily diary study (N = 263) and (b) a cross-sectional psychometric study (N = 139) of emerging adult drinkers. Data were collected from two Canadian cities, and represent unique, non-overlapping participants in both datasets. Questionnaires assessed perfectionism, reinforcement sensitivity, big five personality traits, alcohol consumption/problems, binge eating, social support, positive and negative affect, social anxiety, and drinking motives. Daily data were originally analysed using multilevel structural equation modelling and are stored in the Open Science Framework ( https://osf.io/gduy4/ ). These data can be used to examine research questions related to personality, emotions, and alcohol consumption, including changes from day-to-day in many variables.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44170378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qing-Lan Liu, Fei Wang, Wen-Jing Yan, K. Peng, J. Sui, Chuan-Peng Hu
We reported a questionnaire dataset accumulated from the revision of a Chinese version of Free Will and Determinism Scale Plus (FAD+). In this dataset, we collected data from 1232 participants. The questionnaires used in data collection included the FAD+ and 13 other widely-used questionnaires or tests (for example, the Big Five In-ventory, the Multidimensional Locus of Control, Rosenberg Self-esteem Scale, the General and Personal Belief in a Just World Scale, the Chinese Disgust Sensitivity Scale, the Moral Identity Questionnaire, the Moral Self-Image Scale). The sample size for these questionnaires are different, ranging from 33 to 1100. Our preliminary analysis revealed that scores of these scales are reliable (Cronbach's alpha: .52 ~ .85, McDonald’s omega: .63 ~ .90). These data can be used for both research and educa-tional purposes, e.g., examining cultural differences and measurement invariance on belief in free will, locus of control, belief in just world. All data, together with their codebooks and manipulation code, are available at osf.io/t2nsw/
{"title":"Questionnaire Data From the Revision of a Chinese Version of Free Will and Determinism Plus Scale","authors":"Qing-Lan Liu, Fei Wang, Wen-Jing Yan, K. Peng, J. Sui, Chuan-Peng Hu","doi":"10.5334/JOPD.49","DOIUrl":"https://doi.org/10.5334/JOPD.49","url":null,"abstract":"We reported a questionnaire dataset accumulated from the revision of a Chinese version of Free Will and Determinism Scale Plus (FAD+). In this dataset, we collected data from 1232 participants. The questionnaires used in data collection included the FAD+ and 13 other widely-used questionnaires or tests (for example, the Big Five In-ventory, the Multidimensional Locus of Control, Rosenberg Self-esteem Scale, the General and Personal Belief in a Just World Scale, the Chinese Disgust Sensitivity Scale, the Moral Identity Questionnaire, the Moral Self-Image Scale). The sample size for these questionnaires are different, ranging from 33 to 1100. Our preliminary analysis revealed that scores of these scales are reliable (Cronbach's alpha: .52 ~ .85, McDonald’s omega: .63 ~ .90). These data can be used for both research and educa-tional purposes, e.g., examining cultural differences and measurement invariance on belief in free will, locus of control, belief in just world. All data, together with their codebooks and manipulation code, are available at osf.io/t2nsw/","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45293096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this lab-based experiment (N = 185) we tested the effect of anticipatory stress on moral condemnation. The data covers severity ratings for vignettes of two content types: vignettes with an inherent disgust-eliciting element (e.g., eating human flesh) and without (e.g., lying on a resume). Participants in the anticipatory stress condition rated the vignettes as more morally wrong, and disgust-eliciting vignettes were rated as more morally wrong. No moderation by disgust content was found. Private Body Consciousness (PBC) was positively associated with condemnation for disgust- eliciting vignettes (but not with non-disgust-eliciting vignettes). The data can be used, for example, in research on incidental vs. inherent emotions, to identify the strength of induced emotions on judgments, and to identify moderators (e.g., PBC).
{"title":"Psychology Data from an Exploration of the Effect of Anticipatory Stress on Disgust vs. Non-Disgust Related Moral Judgments","authors":"A. E. van 't Veer, Willem W. A. Sleegers","doi":"10.5334/JOPD.43","DOIUrl":"https://doi.org/10.5334/JOPD.43","url":null,"abstract":"In this lab-based experiment (N = 185) we tested the effect of anticipatory stress on moral condemnation. The data covers severity ratings for vignettes of two content types: vignettes with an inherent disgust-eliciting element (e.g., eating human flesh) and without (e.g., lying on a resume). Participants in the anticipatory stress condition rated the vignettes as more morally wrong, and disgust-eliciting vignettes were rated as more morally wrong. No moderation by disgust content was found. Private Body Consciousness (PBC) was positively associated with condemnation for disgust- eliciting vignettes (but not with non-disgust-eliciting vignettes). The data can be used, for example, in research on incidental vs. inherent emotions, to identify the strength of induced emotions on judgments, and to identify moderators (e.g., PBC).","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43037651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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